Bring Real Time Database
to OpenAI Agents SDK
Learn how to connect Convex to OpenAI Agents SDK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Convex MCP Server?
Connect your Convex deployment to any AI agent and manage your application's data and logic through natural conversation. This server allows you to interact with your real-time database and serverless functions without leaving your AI interface.
What you can do
- Data Fetching — Execute read-only queries to retrieve documents and state from your Convex tables.
- Transactional Updates — Run mutations to modify data with full ACID guarantees directly from the agent.
- Side Effects & APIs — Trigger Convex actions for external API calls, heavy computation, or non-transactional logic.
- Flexible Execution — Call functions using standard colon notation or URL-style identifiers for maximum compatibility.
How it works
- Subscribe to this server
- Enter your Convex Deployment URL (and optional Access Key)
- Start querying and mutating your data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Full-stack Developers — Debug data, run migrations, or check state directly from your IDE or chat.
- Product Managers — Query live application metrics and user data using natural language without writing code.
- Support Teams — Inspect and update user records or trigger administrative actions through a secure AI interface.
Built-in capabilities (4)
Call a Convex action function
g., "messages/list" instead of "messages:list"). Call a Convex function by its URL identifier
Call a Convex mutation function
Use this for fetching data. Call a Convex query function
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 4 tools from Convex through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Convex, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Convex in OpenAI Agents SDK
Convex and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Convex to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Convex in OpenAI Agents SDK
The Convex MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Convex for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Convex MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What is the difference between run_query and run_mutation?
Use run_query for read-only operations that fetch data. Use run_mutation when you need to write, update, or delete data transactionally in your database.
Can I call external APIs using this server?
Yes, by using the run_action tool. Actions in Convex are designed for side effects like calling third-party APIs or performing long-running tasks.
How do I reference functions in subdirectories?
You can use run_query with colon notation (e.g., 'folder/file:function') or use run_function which accepts URL-style identifiers with slashes.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
Explore More MCP Servers
View all →
Nasdaq Data Link (Quandl)
4 toolsAccess financial, economic, and alternative data from Nasdaq Data Link. Query datatables, fetch metadata, and manage bulk downloads directly from your AI agent.
LearningSuite
10 toolsCreate and deliver corporate training programs with course authoring, quizzes, and progress tracking for distributed teams.
ShipStation
28 toolsAutomate shipping and order management via ShipStation — manage carriers, create labels, and track orders directly from any AI agent.
LinearB
7 toolsExport software delivery metrics, manage deployments, and report incidents via the LinearB API.